Results 31 to 40 of about 48,365 (253)
Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society.
Maryam Qasim Gandapur, Elena Verdú
doaj +1 more source
Progressive Parkinsonism in PPP2R5D‐Related Neurodevelopmental Disorder
ABSTRACT PPP2R5D‐related neurodevelopmental disorder (Houge–Janssens syndrome type 1) is a rare autosomal dominant condition characterized by macrocephaly, intellectual disability, and epilepsy. Progressive parkinsonism is an emerging adult phenotype that neurologists should be aware of since timely genetic diagnosis opens the door to disease‐modifying
Katerina Bernardi +6 more
wiley +1 more source
Recommendations for clinical and molecular identification of LS, surgical and endoscopic management of LS‐associated colorectal cancer and preventive measures for cancer were produced. The emphasis was on surgical and gastroenterological aspects of the cancer spectrum.
T. T. Seppälä +18 more
wiley +1 more source
Wireless Video Surveillance: A Survey
A wireless video surveillance system consists of three major components: 1) the video capture and preprocessing; 2) the video compression and transmission in wireless sensor networks; and 3) the video analysis at the receiving end.
Yun Ye +4 more
doaj +1 more source
This work presents a ligand‐pairing strategy that reconstructs lead sulfide quantum dot surfaces for efficient short‐wave infrared optoelectronics. A low‐reactivity thiourea precursor combined with hydrobromic acid enables monodisperse and fully passivated quantum dots.
Dongeon Kim +16 more
wiley +1 more source
Capturing People in Surveillance Video [PDF]
This paper presents reliable techniques for detecting, tracking, and storing keyframes of people in surveillance video. The first component of our system is a novel face detector algorithm, which is based on first learning local adaptive features for each training image, and then using Adaboost learning to select the most general features for detection.
Rogério Schmidt Feris +2 more
openaire +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Human Detection in Video Surveillance
Recognition of the human activities in videos has gathered numerous demands in various applications of computer vision like Ambient Assisted Living, intelligent surveillance, Human-Computer interaction.One of the most pioneering techniques for Human ...
Sushama Khanvilkar +3 more
doaj +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source

